Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
Autor: | Kaisar Ahmad, S. P. Ahmad, A. Ahmed |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: | |
Zdroj: | Journal of Probability and Statistics, Vol 2016 (2016) |
Druh dokumentu: | article |
ISSN: | 1687-952X 1687-9538 |
DOI: | 10.1155/2016/7581918 |
Popis: | Nakagami distribution is considered. The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the scale parameter of Nakagami distribution by using Jeffreys’, Extension of Jeffreys’, and Quasi priors under three different loss functions. Also the simulation study is conducted in R software. |
Databáze: | Directory of Open Access Journals |
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